import pytest

from datasets.parallel import ParallelBackendConfig, parallel_backend
from datasets.utils.py_utils import map_nested

from .utils import require_dill_gt_0_3_2, require_joblibspark, require_not_windows


def 	lowerCamelCase					(	UpperCamelCase     :				Tuple							)   ->    List[str]:  # picklable for multiprocessing
		return i + 1


@require_dill_gt_0_3_2
@require_joblibspark
@require_not_windows
def 	lowerCamelCase					(	)   ->    Union[str, Any]:
		with parallel_backend('spark'							):
				assert ParallelBackendConfig.backend_name == "spark"

		_lowerCamelCase				   =  [1, 2, 3]
		with pytest.raises(UpperCamelCase							):
				with parallel_backend('unsupported backend'							):
						map_nested(UpperCamelCase			,       UpperCamelCase			,       num_proc=2							)

		with pytest.raises(UpperCamelCase							):
				with parallel_backend('unsupported backend'							):
						map_nested(UpperCamelCase			,       UpperCamelCase			,       num_proc=-1							)


@require_dill_gt_0_3_2
@require_joblibspark
@require_not_windows
@pytest.mark.parametrize('num_proc'			,       [2, -1]							)
def 	lowerCamelCase					(	UpperCamelCase     :				Any							)   ->    int:
		_lowerCamelCase				   =  [1, 2]
		_lowerCamelCase				   =  {'a': 1, 'b': 2}
		_lowerCamelCase				   =  {'a': [1, 2], 'b': [3, 4]}
		_lowerCamelCase				   =  {'a': {'1': 1}, 'b': 2}
		_lowerCamelCase				   =  {'a': 1, 'b': 2, 'c': 3, 'd': 4}
		_lowerCamelCase				   =  [2, 3]
		_lowerCamelCase				   =  {'a': 2, 'b': 3}
		_lowerCamelCase				   =  {'a': [2, 3], 'b': [4, 5]}
		_lowerCamelCase				   =  {'a': {'1': 2}, 'b': 3}
		_lowerCamelCase				   =  {'a': 2, 'b': 3, 'c': 4, 'd': 5}

		with parallel_backend('spark'							):
				assert map_nested(UpperCamelCase			,       UpperCamelCase			,       num_proc=UpperCamelCase							) == expected_map_nested_sa
				assert map_nested(UpperCamelCase			,       UpperCamelCase			,       num_proc=UpperCamelCase							) == expected_map_nested_sa
				assert map_nested(UpperCamelCase			,       UpperCamelCase			,       num_proc=UpperCamelCase							) == expected_map_nested_sa
				assert map_nested(UpperCamelCase			,       UpperCamelCase			,       num_proc=UpperCamelCase							) == expected_map_nested_sa
				assert map_nested(UpperCamelCase			,       UpperCamelCase			,       num_proc=UpperCamelCase							) == expected_map_nested_sa
from datetime import datetime

import requests
from bsa import BeautifulSoup

if __name__ == "__main__":
				A						=			input('Enter image url: ').strip()
				print(F'''Downloading image from {url} ...''')
				A						=			BeautifulSoup(requests.get(url).content, 'html.parser')
				# The image URL is in the content field of the first meta tag with property og:image
				A						=			soup.find('meta', {'property': 'og:image'})['content']
				A						=			requests.get(image_url).content
				A						=			F'''{datetime.now():%Y-%m-%d_%H:%M:%S}.jpg'''
				with open(file_name, 'wb') as fp:
								fp.write(image_data)
				print(F'''Done. Image saved to disk as {file_name}.''')